at the invitation of research fellow ma xuanlong from the college of earth and environmental sciences, lanzhou university,dr. zhao gang, who is in charge of model research and development of the digital agriculture division of basf (german headquarters), one of the world's top 500 enterprises, gave an academic report (online) for our students and conducted academic exchanges after the meeting.
title: application of 3s technology in digital agriculture: progress, problems, and research hotspots
time: wednesday, may 26, 16:00-18:00.
site: lecture room 1615, guanyun building（remote video conference）
lecturer profile:
zhao gang, phd, currently works in the german headquarters of basf digital agriculture department, one of the world's top 500 enterprises, and serves as the head of model development. he graduated from the institute of geographic sciences and natural resources research, chinese academy of sciences, and was jointly trained in csiro, australia, supported by csc. after graduation, he worked in bayer group's german headquarters and the university of bonn. during his work in the company, he led the team to customize the data standards of enterprise digital agriculture, developed the growth period, disease, insect pest and plant nutrition mechanism models of more than 30 kinds of crops reaching the industrial application level, and developed the pest identification and corresponding solution recommendation model based on deep learning, which brought an average of 30% fertilizer and drug reduction for farmers on the premise of ensuring production, and applied for 5 invention patents. during his doctoral and postdoctoral research, he studied different scale applications and high-performance computing of farmland ecosystem models, which provided a reliable theoretical basis for scale expansion of models and improved computational efficiency thousands of times. through crop model and cluster analysis, the applicant clarified the mechanism of long-term climate change and farmland management measures affecting soil organic carbon under different climatic conditions in australia and the effective strategies to improve soil organic carbon content. more than 30 sci papers were published in global change biology and other top journals.
email：gang.zhao.model@gmail.com
